Add basic outline

Author: jarrodmillman

about.md

@@ -0,0 +1,23 @@
+---
+site:
+  hide_toc: true
+  hide_footer_links: true
+---
+
+# About
+
+<!--
+# Statistical Python: Bridging Statistical Methods and Software Engineering
+"""
+-->
+
+The Statistical Python project was launched with support from a [POSE Phase I grant from the NSF](https://nsf.elsevierpure.com/en/projects/pose-phase-1-an-open-source-ecosystem-for-statistical-python), titled "POSE: Phase I: An open-source ecosystem for statistical Python."
+This initiative seeks to catalyze the development of robust statistical software for Python and to build a vibrant ecosystem of statisticians, domain practitioners, educators, and software developers.
+Our vision is to foster a community that bridges the gap between statistical innovation and open-source software engineering, informed by best practices from both the Python and R communities.
+
+We are now completing Phase I, which has focused on scoping activities to inform the transition into a sustainable open-source ecosystem.
+During this phase, we have conducted a series of interviews with stakeholders across the statistical and scientific Python communities, engaged with related domain-stack OSEs to learn from their experiences, and organized a workshop to gather input on community needs and technical directions.
+
+<!--
+Based on our [2024 Landscape Analysis](2024-landscape), we ...
+-->

index.md

@@ -1,18 +1,16 @@
 ---
-title: Welcome to Statistical Python
 site:
   hide_outline: true
   hide_toc: true
-  hide_title_block: true
   hide_footer_links: true
 ---
 
-## Welcome to Statistical Python
+# Welcome to Statistical Python
 
 The Statistical Python project is a community-driven and community-owned initiative dedicated to building a robust, sustainable ecosystem for statistical software in Python.
 Our mission is to unite statisticians, domain practitioners, educators, and software developers to create high-quality, well-engineered statistical tools that empower research, education, and industry.
 By fostering collaboration and knowledge sharing, we aim to lower barriers to contribution, promote best practices in software engineering, and ensure that cutting-edge statistical methods are accessible to the broader Python community.
 
 As a domain stack within the larger [Scientific Python project](https://scientific-python.org/), Statistical Python leverages the strengths of the scientific Python ecosystem while addressing the unique needs of the statistical community.
-Supported by an NSF POSE Phase I grant, our work focuses on bridging the gap between innovative statistical methodology and modern open-source software development.
+Our vision is to foster a community that bridges the gap between statistical methodology and modern open-source software engineering, drawing on best practices from both the Python and R communities.
 Our goal is to catalyze the growth of a vibrant, cross-disciplinary developer and user base, making Python a premier platform for statistical computing and education.

myst.yml

@@ -6,13 +6,15 @@ project:
   # description:
   # keywords: []
   # authors: []
-  # github: https://github.com/statistical-python/statistical-python.org
+  github: https://github.com/statistical-python/
   # To autogenerate a Table of Contents, run "myst init --write-toc"
 site:
   template: book-theme
-  #nav:
-  #  - title: Packages
-  #    url: /packages
+  nav:
+    - title: About
+      url: /about
+    - title: Packages
+      url: /packages
   options:
     favicon: images/favicon.ico
     logo: images/statistical-python-logo.svg

packages.md

@@ -1,12 +1,12 @@
 ---
-title: Packages
 site:
-  hide_outline: true
   hide_toc: true
-  hide_title_block: true
   hide_footer_links: true
 ---
 
+# Packages
+
+<!--
 ::::{grid} 1 1 2 3
 
 :::{card}
@@ -24,3 +24,11 @@ site:
 ...
 :::
 ::::
+
+# Pilot Projects
+-->
+
+As part of our NSF-funded initiative, we're working with two pilot projects that represent different aspects of the statistical Python ecosystem:
+
+- **[YAGLM](https://github.com/yaglm/yaglm)**: A Python package for generalized linear models that provides modern statistical methodology with various loss functions, regularizers, and solvers.
+- **[ISLP](https://github.com/intro-stat-learning/ISLP)**: A companion Python package for the textbook "An Introduction to Statistical Learning with Applications in Python," focused on educational resources and implementations.